Armilla

Armilla

AI testing platform that helps data scientists and product managers assure model quality and reduce risk at scale.

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Financials

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

More about Armilla
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Armilla.ai is a startup that operates in the artificial intelligence (AI) sector, providing a unique service that verifies and audits AI models for safety, trustworthiness, and performance. The company's primary clients are AI vendors and buyers who require assurance about the reliability and security of their AI models. Armilla.ai's business model revolves around its proprietary automated AI verification technology, which it uses to assess AI models on various dimensions such as performance, accuracy, security, resilience, bias, and fairness.

The company offers a service called Armilla Verified, an AI assessment and auditing service that helps vendors build evidence-based trust in their AI solutions. This service is designed to ensure that AI models are reliable and secure, thereby facilitating a more accurate underwriting process for AI warranties. If an AI model fails, Armilla.ai offers a warranty that allows buyers to recoup their investment, providing them with peace of mind.

Armilla.ai also provides testing plans to measure model quality and reliability across relevant dimensions, and designs testing blueprints that can be interpreted and actioned by both technical and non-technical teams. The company operates in a market where AI is expected to add $16 trillion to the global economy by 2030, and where 95% of global leaders see AI governance as a priority.

In summary, Armilla.ai is a pioneering startup that provides AI model verification and auditing services, offering warranties to ensure the safety, trustworthiness, and performance of AI models.

Keywords: Artificial Intelligence, AI Verification, AI Auditing, AI Model Safety, AI Model Trustworthiness, AI Model Performance, AI Warranty, AI Governance, AI Risk Assessment, AI Model Reliability.

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